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Nebraska vs. Penn State,
1-12-2018 - Pick and Prediction

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Game Snapshot with Current Line

#833 Nebraska
Cornhuskers
#834 Penn State
Nittany Lions

Friday, January 12, 2018 at 7:00pm

Image licensed from USA Today Sports

Game Stats

Nebraska Cornhuskers

-

-
ATS
-
O/U
0
PPG
0
OPPG

Penn State Nittany Lions

-

-
ATS
-
O/U
0
PPG
0
OPPG

Betting Trends

All NCAAB

No betting trends available for this game. Click here to see all available for NCAAB.

The Nebraska Cornhuskers will head on the road on Friday night for a Big 10 battle against the Penn State Nittany Lions.

The Cornhuskers suffered their first loss in five games on Saturday against Purdue. James Palmer scored a team-high 22 points, while Isaac Copeland finished with 16 in a losing effort for the Cornhuskers. Nebraska never led during the game, finishing with 16 turnovers on the night in a sloppy effort on the road. The loss snapped a four-game win streak for the Cornhuskers.

Line: Penn State -7.5

Total: 140

Cornhuskers bounce back to beat Wisconsin

Nebraska bounced back to beat Wisconsin 63-59 on Tuesday evening. The Cornhuskers enter Friday’s matchup scoring 106.4 points per 100 possessions (118th in the NCAA), despite shooting just 46.5 percent from inside the arc (274th in the NCAA) for the season.

Palmer leads the team in scoring for the season at 15.8 points per game, while Copeland and Glynn Watson Jr. add 12.3 and 11.6 points, respectively for the Cornhuskers.

Tim Miles’ squad takes care of the basketball, ranking among the NCAA leaders in turnover percentage this year. The Cornhuskers are coughing up the ball on just 16.6 percent of their offensive possessions (43th in the NCAA), while shooting 36.3 percent from three-point range (104th in the NCAA) for the season.

On the defensive end of the floor, the Cornhuskers limit their opponents to just 97.9 points per 100 possessions (64th in the NCAA). Teams are shooting just 46.4 percent from two-point range (67th in the NCAA) and 32.5 percent from beyond the arc (79th in the NCAA) for the season.

Penn State alternating wins and losses

Penn State has alternated wins and losses in each of their past three conference games. Most recently, the Nittany Lions fell on the road to Indiana 74-70.

The Nittany Lions have stifled opposing offenses, holding them to just 93.3 points per 100 possessions (16th in the NCAA) for the season. Penn State’s opponents are turning the ball over on 21.7 percent of their offensive possessions (47th in the NCAA), while shooting just 44.3 percent from inside the arc (34th in the NCAA). Pat Chambers’ defense owns a block rate of 16.2 percent (14th in the NCAA) and a steal rate of 12.4 percent (9th in the NCAA), making it one of the more dangerous units in the country.

On offense, the Nittany Lions are led by point guard Tony Carr, who averages 18.9 points, 4.6 rebounds, and 4.8 assists per game. The sophomore point guard is shooting a blistering 47.8 percent from three-point range this year on 69 attempts.

Penn State doesn’t shoot many threes as a team though. The Nittany Lions take only 31.3 percent of their attempts from three-point range (307th in the NCAA), but hit 38.0 percent of their attempts as a team (62nd in the NCAA).

Trends

Nebraska

  • N/A

Penn State

  • Nittany Lions are 4-0-1 ATS in their last 5 games following an ATS loss.
  • Nittany Lions are 10-4-1 ATS in their last 15 home games.

The Nittany Lions are one of the nation’s best teams. They have five losses this season, but two of them have come by a single point. Penn State has one of the nation’s best defenses and a star in Carr who is capable of carrying the team offensively on any given night. Carr’s 6-foot-5 frame will give Glynn Watson plenty of problems on the defensive end of the floor. Look for Penn State to come away with the win and cover the spread at home against Nebraska on Friday night.

Pick: Penn State Nittany Lions

Nick Raffoul

Shortly after graduating with an Honors in Business Administration, Nick turned his attention from traditional stocks and bonds to investing in the performance of sports teams. He uses a combination of advanced stats and historical data to create sports investment models to identify value and generate consistent profits.

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